Chi Hang Au
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Date of Graduation
Master of Arts (MA)
Department of Graduate Psychology
Allison J. Ames
Posterior predictive model checks (PPMC) are one Bayesian model-data fit approach. Thus far, PPMC for Confirmatory Factor Analytic applications focused primarily on global fit evaluation, ignoring the nuanced information in local misfit diagnostics. This study developed a PPMC approach for local misfit and applied it to a test-taking motivation scale. If the PPMC approach is effective, fit conclusions derived from the PPMC approach should be congruent with the fit conclusions derived from the Frequentist approach. Number of item-pairs flagged as misfitting and number of disagreements were computed to evaluate congruence. Congruence is achieved if the number of item-pairs flagged as misfitting is equivalent under the Frequentist and the Bayesian approach and the number of disagreements is zero. Although congruence was not achieved, the present research sets up foundation for future research in PPMC.
Au, Chi Hang, "Posterior predictive model checking of local misfit for Bayesian Confirmatory factor analysis" (2018). Masters Theses, 2010-2019. 543.